Mohammad Majidi

926 citations
30 papers · 720 · h-index 16

Impact in

    • Wound Healing and Treatments
    • Electrospun Nanofibers in Biomedical Applications
    • Silk-based biomaterials and applications

Papers in

    • Tissue Engineering and Regenerative Medicine 3
    • Electrospun Nanofibers in Biomedical Applications 5
    • Silk-based biomaterials and applications 3

Mohammad Majidi

29 papers receiving 709 citations

Peers

Mohammad Majidi
Comparison fields: 5 of 95
  • Rehabilitation 118
  • Biomaterials 250
  • Genetics 80
  • Molecular Medicine 38
  • Urology 32
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Citations per field
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Citations per year

Countries citing papers authored by Mohammad Majidi

Since Specialization
Citations

This map shows the geographic impact of Mohammad Majidi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mohammad Majidi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Majidi more than expected).

Fields of papers citing papers by Mohammad Majidi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Majidi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mohammad Majidi. The network helps show where Mohammad Majidi may publish in the future.

Co-authors

The 25 scholars most cited alongside Mohammad Majidi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohammad Majidi Line = papers co-authored together Mohammad Majidi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201798
2 201461
3 201655
4 201655
5 201449
6 199647
7 201342
8 201840
9 201439
10 202234
11 201528
12 202227
13 202124
14 201422
15 202018
16 201517
17 201115
18 201411
19 20119
20 20217

About Mohammad Majidi

Mohammad Majidi is a scholar working on Surgery, Biomaterials, Biomedical Engineering, Molecular Biology and Rehabilitation, having authored 30 papers that have together received 720 indexed citations. Recurring topics across this work include Wound Healing and Treatments (6 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), Mesenchymal stem cell research (4 papers), Bone Tissue Engineering Materials (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Silk-based biomaterials and applications (3 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Reproductive Biology and Fertility (3 papers). The work is most often cited by research in Rehabilitation (118 citations), Biomaterials (250 citations), Genetics (80 citations), Molecular Medicine (38 citations) and Urology (32 citations). Mohammad Majidi has collaborated with scholars based in Iran, Switzerland and Australia. Frequent co-authors include Shahin Bonakdar, Mohammad Ali Shokrgozar, Mohammad Mehdi Dehghan, Saeed Farzad‐Mohajeri, Lida Moradi, Mohammad Vasei, Fahimeh Falahi, Hossein Tavassoli, Nasrin Motamed and Najmeh Ranji. Their work appears in journals such as Reproductive Sciences, Materials Science and Engineering C, ACS Applied Materials & Interfaces, Macromolecular Bioscience and ACS Biomaterials Science & Engineering.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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